Senior Staff Data Engineer

About the Role

The Data Engineering team at SmithRx plays a crucial role in the company's mission to disrupt the PBM sector. By building a next-generation drug acquisition platform, the team contributes to the company's goal of providing cost-saving solutions and best-in-class customer service. As a Senior Staff Data Engineer, you will be responsible for leading the development of data engineering solutions and collaborating with cross-functional teams to drive business impact.

SmithRx's collaborative culture and mission-driven approach set it apart from other companies in the industry. The company values integrity, courage, and togetherness, and expects its employees to embody these values in their work. As a Senior Staff Data Engineer, you will be working closely with the Data Analytics and Machine Learning teams to drive business outcomes and make a meaningful impact on the company's mission.

What You Will Do

• Design, implement, and maintain large-scale data systems to support the company's growth
• Develop and optimize data pipelines to improve data quality and reduce latency
• Collaborate with cross-functional teams to identify and prioritize data engineering projects
• Lead the development of data engineering solutions and provide technical guidance to junior team members
• Work with open-source tools like Airflow and DBT to build and manage data workflows
• Develop and maintain data governance policies to ensure data security and compliance
• Participate in code reviews and contribute to the improvement of the codebase
• Stay up-to-date with industry trends and emerging technologies to continuously improve the data engineering practice
• Collaborate with the Data Analytics team to develop data visualizations and reports
• Work with the Machine Learning team to develop and deploy predictive models

What We Are Looking For

• 5+ years of experience in data engineering, with a focus on building and maintaining large-scale data systems
• Strong proficiency in programming languages like Python, Java, or Scala
• Experience with open-source tools like Airflow, DBT, and Apache Beam
• Strong understanding of data governance and security principles
• Experience with cloud-based data platforms like AWS or GCP
• Strong communication and collaboration skills, with the ability to work with cross-functional teams
• Experience with agile development methodologies and version control systems like Git
• Strong problem-solving skills, with the ability to debug complex data issues
• Experience with data visualization tools like Tableau or Power BI

Nice to Have

• Experience with machine learning algorithms and predictive modeling
• Knowledge of pharmaceutical data and the PBM industry
• Experience with containerization using Docker
• Familiarity with DevOps practices and tools like Kubernetes
• Experience with data warehousing and ETL tools like Snowflake or Talend

Benefits and Perks

• Competitive salary and benefits package
• Opportunity to work with a mission-driven company that is making a meaningful impact in the healthcare industry
• Collaborative and dynamic work environment with a team of experienced professionals
• Flexible working hours and remote work options
• Professional development opportunities and training programs
• Access to cutting-edge technologies and tools
• Recognition and reward programs for outstanding performance
• Comprehensive health insurance and wellness programs
• Generous PTO and vacation policy
• 401(k) matching and retirement planning support
• Employee stock options and equity incentives
• Annual bonus and performance-based incentives
• Flexible spending accounts and commuter benefits
• Employee assistance programs and mental health support
• Education and tuition reimbursement programs
• Professional membership and conference sponsorship
• Team-building activities and social events
• Mentorship and career development programs
• Diversity and inclusion initiatives and training programs
• Community outreach and volunteer opportunities
• Charitable donation matching and fundraising support

• When applying, be sure to CAPTIVATE the hiring team with your passion for data engineering and your ability to drive business impact.
• Highlight your experience with open-source tools like Airflow and DBT, and be prepared to discuss your approach to data governance and security.
• Showcase your ability to collaborate with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.
• Be prepared to discuss your experience with cloud-based data platforms and your approach to scalable data system design.
• Tag your application with #RMTI5LjEyMS40MC4xNg== to show that you've read the job post completely and are a human applicant.
• Research the company's values and mission, and be prepared to discuss how your skills and experience align with these values.
• Prepare examples of your experience with data engineering and problem-solving, and be ready to discuss your approach to complex technical challenges.